import pandas as pd
import numpy as np
import pandas as pd
# arr = [10, 9, 1, 7, 6]
# for i, item in enumerate(arr):
#     print(i, item)
#
# test_num = [4,4,4,5]
# print((np.sum(test_num) / len(test_num)) % 2 == 0 )

# test = ['nan']
# print(pd.isna(test[0]))


# test = ['hello', 'world', 'liu', 'zhi', 'wo', 'ni']
# test[2] = test[2].concat(test[3])
# del test[3]
# print(test)


my = "hello %d" % format(100)
print(my)

# for index in range(len(arr)):
#     if index == len(arr) - 1:
#         pass
#     else:
#         print(arr[index])
#         print(arr[index+1])


# test = [[[np.nan, 2, 3], [4, 5, 6], [7, 8, 9], [1, 2, 3]]]
# print(test[0][0])
# print(test[0], np.isnan(test[0][0][0]))
# arr = [1,2,3]
# x = np.array([1,2,3])
#
# print(np.isnan(x[0]))
#
# print(np.isnan(arr[0]) == False)

# del test[0]
# print(test)
#
#
# print(len(test))

# x = [item for item in test[0]]
# print(x)
# arr = []
# for item in test[0]:
#     arr.append(item)
#
# df = pd.DataFrame(arr)
# print(df)
# df = df.drop_duplicates()
# print(df)

